Dong-Seong Kim

Robust federated learning under data heterogeneity and Byzantine attacks with adaptive compression

FL-HeteroSecure consistently outperforms state-of-the-art baselines, including FedGAN, FMDS-FL, and HFMDS-FL, improving accuracy, accelerating convergence, and reducing communication costs.